Dynamic prediction models in Australian rules football using real time performance statistics

使用实时表现统计数据的澳式足球动态预测模型

• 批准号: ARC : LP0211171
• 负责人: A/Prof Stephen Clarke
• 金额: $ 6.76万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2002
• 资助国家: 澳大利亚
• 起止时间: 2002-01-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/dynamic-prediction-models-performance-statistics/74599
• 关键词: Dynamic; prediction; models; Australian; rules

Dynamic prediction models in Australian rules football using real time performance statistics. The study is a collaborative venture with Champion Data, the Australian leader in the collection and transmission of real time sporting data, and official provider of the Australian Football League (AFL) statistics. The aim is to develop a real time on line predictive model for AFL football. The model will use the statistics Champion Data collect as the match progresses as inputs to continually update estimates of the probabilities of various outcomes of interest such as the winner of the match and the margin of victory. The project will assist Champion in their strategic aim to provide an on line form guide.

使用真实的时间性能统计的澳大利亚规则足球的动态预测模型。这项研究是与Champion Data的合作项目，Champion Data是澳大利亚收集和传输真实的体育数据的领导者，也是澳大利亚足球联盟（AFL）统计数据的官方提供者。目的是开发一个真实的时间在线预测模型AFL足球。该模型将使用随着比赛进行而收集的统计数据Champion Data作为输入，以不断更新对各种感兴趣结果的概率的估计，例如比赛的赢家和胜利幅度。该项目将协助冠军在他们的战略目标，提供一个在线形式的指南。